ChatGPT says real-time data from web3, dePIN sources would optimize its potential
- AI language model by OpenAI says no news beyond September 2021 training data cutoff
- ChatGPT said it would benefit from Web3’s perks of having access to “massive amounts of data.”
- Dr. Xinxin Fan says that being able to capture real-time data such as weather, stock prices, and breaking news would revolutionize AI language models.
Combining AI language models with decentralized real-time data is becoming increasingly important in artificial intelligence and blockchain technology. One of the most prominent examples of this is ChatGPT, an advanced conversational AI system that has achieved state-of-the-art results on natural language processing tasks.
ChatGPT is already making waves in the tech world, but the debate around its potential continues to evolve. Specifically, there is growing interest in how Web3 can further enhance ChatGPT’s capabilities by providing access to more accurate and authoritative data sources through Web3 Rewards.
According to Dr. Xinxin Fan, co-founder of IoTeX and Head of Blockchain Research, an expert in cryptography, engineering, AI/ML, and cybersecurity, ChatGPT is currently using various sources due to lack of real-time data. Limited accuracy and consistency of data received from
“By extracting real-time data from smart devices and blockchain technology, the community could be encouraged to collect trusted and accurate information for ChatGPT in exchange for cryptocurrencies, NFTs and other Web3 rewards,” Huang said. There is.” “Traditionally, IoT data was centralized and collected for business purposes, meaning ChatGPT could not directly benefit from that data.”
ChatGPT has confirmed that it does not have access to real-time data. “As an AI language model, we do not have access to real-time information or news beyond the September 2021 training data cutoff.”
Huang reiterated that blockchain and other advanced Web3 technologies such as W3bstream have the potential to motivate the community to collect more reliable and accurate real-time and real-world data for ChatGPT. I got
Web3 rewards rew in exchange for more reliable data
W3bstream can be viewed as a machine orchestration layer built on the blockchain that can orchestrate and coordinate a set of machines to complete a specific task, allowing users to use trusted smart devices connected to the internet. Data can be collected from a variety of sources, including
By using W3bstream and other blockchain technologies in smart devices and sensors, as well as by using W3bstream and other IoTeX technologies, ChatGPT can improve data quality, enhance machine learning models, and analyze user queries. can improve the response to
ChatGPT says: ChatGPT uses data to continuously train, improve performance, and customize models to individual user needs and preferences. ”
And “secondly”, “By offering Web3 rewards to users in exchange for their data, ChatGPT may incentivize users to provide higher quality and more relevant data, leading to the model’s It may improve the quality and accuracy of responses.”
Other ChatGPT Considerations
When asked what W3bstream could do for ChatGPT, AI Language Models agreed with Dr. Fan.
The OpenAI application says: However, data accuracy and consistency are limited by the quality of data from a single reliable source. Using W3bstream to collect data from multiple sources increases the reliability and accuracy of your data. ”
“Furthermore, W3bstream helps ChatGPT access data that is not readily available or difficult to access. It could lead to sophisticated conversational AI systems,” he added.
“With great power comes great responsibility,” says ChatGPT. “Web3’s trustless transparency and distributed ledger auditability make it perfect for addressing concerns about harmful, fake, unbiased, or unfair content generated by language models like ChatGPT. A distributed computational network can also facilitate the computational requirements for pre-training or fine-tuning these models.”
The integration of ChatGPT with decentralized and open source technologies has the potential to revolutionize AI by enabling the development of highly distributed AI applications.
Dr. Fan gives the following example: For example, ChatGPT can use real-time weather data to provide more accurate and up-to-date information. Still, as of now, he’s the only one that enables it in a reliable, secure, scalable, and privacy-preserving way, W3bstream. ”
ChatGPT’s language generation capabilities and W3bstream’s decentralized infrastructure are used to communicate with smart devices to perform tasks such as controlling smart home appliances and monitoring health data that users can monetize via Web3. Build private chatbots.
Additionally, W3bstream’s decentralized nature enables secure and private data exchange between connected devices, which can be used to train AI models at scale. This could lead to the development of advanced AI models that are not controlled by a single entity and are less susceptible to data privacy issues.
power to revolutionize
W3bstream’s focus on smart devices and ubiquitous computing enables chatbots to access data fast and securely. Processing and analyzing data at the edge reduces latency and increases scalability.
The integration of ChatGPT, smart devices and sensor data technology has the potential to revolutionize AI by developing highly distributed AI applications and enabling secure and private data exchange between connected devices. I’m here. The possibilities of this technology are endless, but careful consideration and responsible implementation are essential to its success.